Evidence map›Paper›PMID 29653512›Full record

ArticleBMC genomics2018

Transcriptome-wide identification of optimal reference genes for expression analysis of Pyropia yezoensis responses to abiotic stress.

Dong Gao, Fanna Kong, Peipei Sun, Guiqi Bi, Yunxiang Mao

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  5. Genome-Wide Identification and Analysis ofPlants (Basel, Switzerland) · 2023
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  15. Comparative Transcriptome Profiling ofPlants (Basel, Switzerland) · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dong GaoMinistry of Education, Key Laboratory of Marine Genetics and Breeding (Ocean University of China), Qingdao, 266003, China.
Fanna KongMinistry of Education, Key Laboratory of Marine Genetics and Breeding (Ocean University of China), Qingdao, 266003, China.
Peipei SunMinistry of Education, Key Laboratory of Marine Genetics and Breeding (Ocean University of China), Qingdao, 266003, China.
Guiqi BiMinistry of Education, Key Laboratory of Marine Genetics and Breeding (Ocean University of China), Qingdao, 266003, China.
Yunxiang MaoMinistry of Education, Key Laboratory of Marine Genetics and Breeding (Ocean University of China), Qingdao, 266003, China. yxmao@ouc.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 201762016, 201562018, 201564009National Natural Science Foundation of China 31372517, 31672641Project of National Infrastructure of Fishery Germplasm Resources 2016DKA30470Scientific and Technological Innovation Project Financially Supported by Qingdao National Laboratory for Marine Science and Technology 2015ASKJ02
6 · The paper itself

Abstract

backgroundPyropia yezoensis, a marine red alga, is an ideal research model for studying the mechanisms of abiotic stress tolerance in intertidal seaweed. Real-time quantitative polymerase chain reaction (RT-qPCR) is the most commonly used method to analyze gene expression levels. To accurately quantify gene expression, selection and validation of stable reference genes is required.

resultsWe used transcriptome profiling data from different abiotic stress treatments to identify six genes with relatively stable expression levels: MAP, ATPase, CGS1, PPK, DPE2, and FHP. These six genes and three conventional reference genes, UBC, EF1-α, and eif4A, were chosen as candidates for optimal reference gene selection. Five common statistical approaches (geNorm, ΔCt method, NormFinder, BestKeeper, and ReFinder) were used to identify the stability of each reference gene. Our results show that: MAP, UBC, and FHP are stably expressed in all analyzed conditions; CGS1 and UBC are stably expressed under conditions of dehydration stress; and MAP, UBC, and CGS1 are stably expressed under conditions of temperature stress.

conclusionWe have identified appropriate reference genes for RT-qPCR in P. yezoensis under different abiotic stress conditions which will facilitate studies of gene expression under these conditions.

Indexed as

Gene Expression ProfilingGenes, PlantReal-Time Polymerase Chain ReactionReference StandardsRhodophytaStress, PhysiologicalAbiotic stressPyropia yezoensisReference genes

Identifiers

PMID29653512
PMCPMC5899324

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.